Event Detection Explorer: An Interactive Tool for Event Detection Exploration
Wenlong Zhang, Bhagyashree Ingale, Hamza Shabir, Tianyi Li, Tian Shi,, Ping Wang

TL;DR
ED Explorer is an interactive tool designed to facilitate the exploration and analysis of event detection datasets and models, helping identify issues like bias and imbalance to improve future datasets.
Contribution
The paper introduces ED Explorer, a user-friendly web-based tool for systematic analysis of event detection datasets and models, which was not previously available.
Findings
Identified issues in MAVEN dataset such as sparsity and bias
Demonstrated how ED Explorer aids in dataset analysis and improvement
Provided insights for enhancing event detection datasets
Abstract
Event Detection (ED) is an important task in natural language processing. In the past few years, many datasets have been introduced for advancing ED machine learning models. However, most of these datasets are under-explored because not many tools are available for people to study events, trigger words, and event mention instances systematically and efficiently. In this paper, we present an interactive and easy-to-use tool, namely ED Explorer, for ED dataset and model exploration. ED Explorer consists of an interactive web application, an API, and an NLP toolkit, which can help both domain experts and non-experts to better understand the ED task. We use ED Explorer to analyze a recent proposed large-scale ED datasets (referred to as MAVEN), and discover several underlying problems, including sparsity, label bias, label imbalance, and debatable annotations, which provide us with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Text and Document Classification Technologies
